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As experts continue to debate the optimal surgery practice for coronarydisease - percutaneous coronary intervention (PCI) or coronary aortic bypassgraft (CABG) - computational tools may provide a quantitative assessment ofeach option. Computational fluid dynamics (CFD) has been used to assess theinterplay between hemodynamics and stent struts; it is of particular interestin Bioresorbable Vascular Stents (BVS), since their thicker struts may resultin impacted flow patterns and possible pathological consequences. Many proofsof concept are presented in the literature; however, a practical method forextracting patient-specific stented coronary artery geometries from images overa large number of patients remains an open problem.  This work provides a possible pipeline for the reconstruction of the BVS.Using Optical Coherence Tomographies (OCT) and Invasive Coronary Angiographies(ICA), we can reconstruct the 3D geometry of deployed BVS in vivo. Weillustrate the stent reconstruction process: (i) automatic strut detection,(ii) identification of stent components, (iii) 3D registration of stentcurvature, and (iv) final stent volume reconstruction. The methodology isdesigned for use on clinical OCT images, as opposed to approaches that reliedon a small number of virtually deployed stents.  The proposed reconstruction process is validated with a virtual phantomstent, providing quantitative assessment of the methodology, and with selectedclinical cases, confirming feasibility. Using multimodality image analysis, weobtain reliable reconstructions within a reasonable timeframe. This work is thefirst step toward a fully automated reconstruction and simulation procedureaiming at an extensive quantitative analysis of the impact of BVS struts onhemodynamics via CFD in clinical trials, going beyond the proof-of-conceptstage.

Patient-Specific 3D Volumetric Reconstruction of Bioresorbable Stents: A  Method to Generate 3D Geometries for Computational Analysis of Coronaries  Treated with Bioresorbable Stents